SimpleNutrition Nutritional Management System

• US 20130226729A1
• Filed: 03/15/2013
• Published: 08/29/2013
• Est. Priority Date: 07/01/2011
• Status: Active Grant

• Current Assignee: Safeway Incorporated (Albertsons Cos., Inc.)
• Original Assignee: Safeway Incorporated (Albertsons Cos., Inc.)
• Inventors: REED, Margaret-Ann, CALVERT, John, MOYLAN, Steve
• Granted Patent: US 9,959,561 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0226 Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G09B 19/0092 Nutrition
• CPC Class Codes: G16H 20/60 relating to nutrition control, e.g. diets

Abstract

A nutritional management system which comprises a processor, a memory, a first data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products, a second data store comprising a physiological information profile for each of a plurality of different loyalty card users, an application stored in the memory. When executed by the processor the application accesses the second data store to read the physiological information profile of a loyalty card user, analyzes the physiological information profile based on objective nutritional guidelines set forth for physiological characteristics disclosed in the physiological information profile, searches the first data store to find products that satisfy the objective nutritional guidelines, transmits the products, receives a selection of one or more of the products, and promotes generating a personalized shopping list comprising selected products that is based on the physiological information profile.

Claims

1. A nutritional management system, comprising:

a processor;

a memory;

a first data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products;

a second data store comprising a physiological information profile for each of a plurality of different loyalty card users; and

an application stored in the memory that, when executed by the processor,

accesses the second data store to read the physiological information profile of a loyalty card user,

analyzes the physiological information profile of the loyalty card user based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user,

searches the first data store to find products that satisfy the objective nutritional guidelines,

transmits the products,

receives a selection of one or more of the products, and

promotes generating a personalized shopping list comprising selected products that is based on the loyalty card user'"'"'s physiological information profile.

2. The system of claim 1, further comprising:

a third data store comprising purchase histories linked to the plurality of different loyalty card users.

3. The system of claim 2, wherein when executed by the processor, the application further:

accesses the third data store to read a purchase history of the loyalty card user over a most recent predefined time period,

analyzes the most recent predefined time period of the purchase history of the loyalty card user based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify unhealthy purchased items,

searches the first data store to find substitutes for the unhealthy purchased items, transmits the substitutes,

receives a selection of one or more of the substitutes, and

promotes generating a personalized shopping list comprising the substitutes that is based on the loyalty card user'"'"'s physiological information profile.

4. The system of claim 1, wherein the loyalty card user'"'"'s physiological information profile comprises information about one or more of the loyalty card user'"'"'s height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, organs, history of injuries, history of illness, allergies, immune system, family medical history, personal medical history, current medical condition, addictions, dental health, gastrointestinal health, mental health, joint health, cardiovascular health, respiratory health, hormone activity, history of infection, history of disease, information about medication that the loyalty card user is taking, or information about another aspect of the loyalty card user'"'"'s physiological conditions.

5. The system of claim 1, wherein the nutritional information comprises information indicating the quantity of at least one of calories, protein, carbohydrate, fat, saturated fat, trans fat, fiber, sodium, potassium, calcium, iron, iodine, selenium, cholesterol, vitamin A, vitamin C, folate, sugar contained in the products, or combinations thereof.

6. The system of claim 1, wherein the objective nutritional guidelines for some physiological conditions described in the physiological information profile can take precedence over the objective nutritional guidelines for other physiological conditions described in the physiological information profile when the application searches the first data store to find products that satisfy the objective nutritional guidelines.

7. A computer based method of shopping for food, comprising:

accessing a first data store to read a physiological information profile for a loyalty card user;

analyzing the physiological information profile based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify products that satisfy the objective nutritional guidelines;

identifying a list of products that satisfy the objective nutritional guidelines by accessing a second data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products;

presenting the list products that satisfy the objective nutritional guidelines;

receiving product selections; and

transmitting a shopping list comprising the product selections.

8. The method of claim 7, further comprising:

accessing a third data store to read a most recent predefined time period of purchase history of the loyalty card user, wherein the third data store comprises purchase histories linked to a plurality of different loyalty card users;

analyzing the food items of the most recent predefined time period of purchase history based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify a predefined number of the most unhealthy purchased items;

identifying a list of potential product substitutes by accessing the second data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products to obtain a list of product entries that belong to the same food types as the unhealthy purchased items;

identifying a list of candidate product substitutes by analyzing the list of potential product substitutes based on the objective nutritional guidelines;

presenting the list of candidate substitutes, wherein presenting the list of candidates comprises providing pricing and/or comparative pricing for the list of candidate substitutes;

receiving substitute selections; and

transmitting a shopping list comprising the substitute selections.

9. The method of claim 7, wherein the physiological information profile comprises information about one or more of the loyalty card user'"'"'s height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, organs, history of injuries, history of illness, allergies, immune system, family medical history, personal medical history, current medical condition, addictions, dental health, gastrointestinal health, mental health, joint health, cardiovascular health, respiratory health, hormone activity, history of infection, history of disease, information about medication the loyalty card user is taking, or information about another aspect of the loyalty card user'"'"'s physiological conditions.

10. The method of claim 7, wherein the physiological information profile comprises information supplied by the loyalty card user

11. The method of claim 7, wherein precedence is given to some physiological conditions described in the physiological information profile over other physiological conditions described in the physiological information profile when identifying a list of products that satisfy the objective nutritional guidelines.

12. The method of claim 11, wherein medical conditions comprising at least one of diabetes, heart disease, cancer, Crohn'"'"' s disease, ulcers, hemophilia, viral infections, bacterial infections, fungal infections, and other medical conditions are given precedence over physical characteristics comprising at least one of height, sex, and race when identifying a list of products that satisfy the objective nutritional guidelines.

13. The method of claim 7, further comprising:

assigning a relative importance to each piece of physiological information contained in the physiological information profile, wherein the relative importance of a piece of physiological information will govern how much the piece of physiological information will affect the objective nutritional guidelines for the physiological information profile as a whole when identifying a list of products that satisfy the objective nutritional guidelines.

14. The method of claim 7, wherein the objective nutritional guidelines for the medical conditions comprising at least one of diabetes, heart disease, cancer, Crohn'"'"'s disease, ulcers, hemophilia, viral infections, bacterial infections, fungal infections, and other medical conditions are personalized to the loyalty card user by taking into account the loyalty card user'"'"'s physical characteristics comprising at least one of height, weight, race, sex, age, body fat percentage, BMI, caloric expenditure, or allergies when establishing the objective nutritional guidelines.

15. A computer based method of shopping for food, comprising:

receiving a selection of a food category filter criteria, a selection of a first food nutrient filter criteria, and a selection of a first food attribute filter criteria;

accessing a first data store to identify products that match the food category filter criteria selection, wherein the first data store comprises a list of products, universal product codes associated with the products, nutritional information associated with the products, and attributes of the products;

analyzing the products in the first data store that match the food category filter criteria based on the first food nutrient filter and the first food attribute filter to identify products that satisfy the filter criteria;

presenting the nutritional information and attributes associated with the identified products;

receiving a selection of one or more products; and

transmitting a shopping list comprising the selected products.

16. The method of claim 15, further comprising:

accessing a second data store to read a most recent predefined time period of purchase history of a loyalty card user, wherein the second data store comprises purchase histories linked to a plurality of different loyalty card users;

identifying a list of candidate product substitutes by analyzing the purchase history based on the first food nutrient filter and the first food attribute filter to identify products that satisfy the filter criteria; and

presenting the nutritional information and attributes of products on the list of candidate substitutes.

17. The method of claim 16, wherein the nutritional information and attributes of products of products on the list of candidate substitutes are presented side-by-side with nutritional information and attributes associated with at least one product in the loyalty card user'"'"'s purchase history.

18. The method of claim 15, wherein the first food attribute criteria comprise at least one of Carb Choices, heart healthy, gluten-free, Weight Watchers®

points, allergen information, immune boosting, organic, low glycemic index, lower cholesterol, anti-inflammatory, probiotic, all natural, kosher, fresh, good source of potassium, good source of protein, good source of vitamin A, good source of iron, good source of iodine, good source of selenium, made with whole grains, sodium smart, good source of folate, good source of calcium, good source of vitamin C, good source of vitamin D, good source of B vitamins, low fat, fat free, low saturated fat, 100% juice, good source of antioxidants, low sodium, good source of fiber, 0 g trans fat, calorie smart, sugar free, and locally grown.

19. The method of claim 15, further comprising:

accessing a third data store to read a physiological information profile for the loyalty card user;

analyzing the physiological information profile based on objective nutritional guidelines set forth for one or more physiological characteristics disclosed in the physiological information profile of the loyalty card user to identify products that satisfy the objective nutritional guidelines, the food category filter criteria, the first food nutrient filter criteria, and the first food attribute filter criteria; and

identifying a list of products that satisfy the objective nutritional guidelines, the food category filter criteria, the first food nutrient filter criteria, and the first food attribute filter criteria by accessing the first data store comprising a list of products, universal product codes associated with the products, and nutritional information associated with the products.

20. The method of claim 19, further comprising:

prompting the loyalty card user to select food attribute filter criteria based on the objective nutritional guidelines established for the loyalty car user'"'"'s physiological information profile.